V3 CLI Modernization

Use a modular command registry pattern where each command is a self-contained module with a name, category, handler, and middleware stack. Register commands in a central registry that supports aliases and fuzzy matching, keeping each module under 500 lines.

Use inquirer for select, multiselect, input, and confirm prompts, dynamically imported for tree-shaking. Combine with cli-progress for progress bars during long-running tasks, and wrap everything in a prompt service for reuse across commands.

CLI hooks are handlers registered for lifecycle events like command_start, command_end, and command_error. They execute in parallel when events fire, enabling learning integration, performance monitoring, and intelligent suggestion generation without modifying command logic.

Yes, by recording command trajectories and submitting reward-based feedback to a learning service. Successful patterns with high rewards are stored and later surfaced as intelligent suggestions or auto-completion recommendations for similar contexts.

Slow responses often come from monolithic files, synchronous imports, and missing caching. Use a performance monitor to track execution time and memory per command, then decompose large modules and lazy-load dependencies to reach sub-200ms targets.

Workflow steps fail if dependencies are unmet or conditions evaluate false, and retries are bounded by the configured retry policy. Complex dynamic workflows require pre-existing patterns; the orchestrator cannot generate workflows for intents with no matching templates.